Michael P. McKenna
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Genetics top 10%
- Insect Science top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- John R. CarlsonPeter GainesDaria S. Hekmat‐ScafePaul L. McNeilD. Lansing TaylorJonathan A. RaperMichael W. RoweJanice A. Kolberg
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)Cardiac Valve Diseases and Treatments (2 papers)Health Sciences Research and Education (2 papers)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Michael P. McKenna
15 papers receiving 824 citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 337
- Cellular and Molecular Neuroscience 331
- Genetics 229
- Insect Science 220
- Endocrinology, Diabetes and Metabolism 120
Countries citing papers authored by Michael P. McKenna
This map shows the geographic impact of Michael P. McKenna's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael P. McKenna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. McKenna more than expected).
Fields of papers citing papers by Michael P. McKenna
This network shows the impact of papers produced by Michael P. McKenna. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael P. McKenna. The network helps show where Michael P. McKenna may publish in the future.
Co-authorship network of co-authors of Michael P. McKenna
This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. McKenna. A scholar is included among the top collaborators of Michael P. McKenna based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael P. McKenna. Michael P. McKenna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 18 | |
| 4 | 33 | |
| 5 | The ABC Movie of the Week: Big Movies for the Small Screen | 4 |
| 6 | 5 | |
| 7 | 18 | |
| 8 | 9 | |
| 9 | 37 | |
| 10 | 11 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 130 | |
| 14 | 134 | |
| 15 | 306 | |
| 16 | 60 | |
| 17 | 108 |
About Michael P. McKenna
Michael P. McKenna is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions and Clinical Biochemistry, having authored 17 papers that have together received 878 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Cardiac Valve Diseases and Treatments (2 papers) and Health Sciences Research and Education (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (331 citations), Insect Science (220 citations) and Sensory Systems (43 citations). Michael P. McKenna has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include John R. Carlson, Peter Gaines, Daria S. Hekmat‐Scafe, Paul L. McNeil, D. Lansing Taylor, Jonathan A. Raper, Michael W. Rowe, Janice A. Kolberg, Torben Hansen and Knut Borch‐Johnsen. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Nature Biotechnology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.